Our tool supports a wide variety of ML models (both Deep learning based as well as classical ones, except for Video CNNs). Below are some of the sample use-cases:
1. LLMs: UpTrain tracks unseen prompts, logs model performance, and detects problematic prompts by analysing user behaviour.
2. Recommendation Systems: Use UpTrain to monitor popularity bias, recommendation quality across user groups etc.
3. Prediction Systems: Use UpTrain to monitor feature drift and the effectiveness of your predictions.
4. Computer Vision: Use UpTrain to measure drifts in the properties of your input image (brightness, intensity, temperature, model outputs etc.).
1. LLMs: UpTrain tracks unseen prompts, logs model performance, and detects problematic prompts by analysing user behaviour.
2. Recommendation Systems: Use UpTrain to monitor popularity bias, recommendation quality across user groups etc.
3. Prediction Systems: Use UpTrain to monitor feature drift and the effectiveness of your predictions.
4. Computer Vision: Use UpTrain to measure drifts in the properties of your input image (brightness, intensity, temperature, model outputs etc.).